Results 121 to 130 of about 286,362 (268)

Mechanosensitive Piezo1/Osteocalcin/Irisin Axis Protects Against Disuse‐Induced Muscle Atrophy

Advanced Science, EarlyView.
Mechanical unloading suppresses bone Piezo1 expression, which reduces circulating undercarboxylated osteocalcin (unOCN). unOCN reduction subsequently exacerbates IMM‐induced Fndc5/Irisin decrease and drives severe muscle atrophy. Bone Piezo1 activation or exogenous osteocalcin/Irisin ameliorate muscle atrophy, while muscle‐specific Gprc6a or Fndc5 ...
Zhaolu Wang, Xiuying Jiang, Xi Sun, Hao Chen, Jianjun Jin, Xin'e Shi   +5 more
wiley   +1 more source

Accurate determination of node and arc multiplicities in de bruijn graphs using conditional random fields. [PDF]

BMC Bioinformatics, 2020
Steyaert A, Audenaert P, Fostier J.
europepmc   +1 more source

Paternal Caffeine Exposure Programs Offspring Stress Vulnerability via Sperm Dlk1‐Dio3 Imprinting‐Directed Remodeling of a Novel Neural Circuit

Advanced Science, EarlyView.
The study elucidates that paternal preconception stress can drive offspring hyperresponsivity of the stress system via hypomethylation of a specific DNA region in sperm. This key link is confirmed in a cohort of prospective fathers: the epigenetic alteration is associated with elevated stress hormone levels.
Mengxi Lu, Gaole Dai, Sen Zhu, Shuai Zhang, Tingting Wang, Yuan Meng, Fang Yang, Xiaoyi Han, Hui Wang, Hao Kou, Dan Xu   +10 more
wiley   +1 more source

Quantum Conditional Random Field

, 2019
Conditional random field (CRF) is an important probabilistic machine learning model for labeling sequential data, which is widely utilized in natural language processing, bioinformatics and computer vision. However, training the CRF model is computationally intractable when large scale training samples are processed. Since little work has been done for
Wu, Yusen, Yu, Chao-Hua, Cai, Binbin, Qin, Sujuan, Gao, Fei, Wen, Qiaoyan   +5 more
openaire   +2 more sources

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing

Advanced Science, EarlyView.
A triple‐mode ferroelectric thin‐film transistor is developed by integrating Si3N4/HZO/IGZO layers to realize three independent memory modes: electric long‐term, electric short‐term, and optical short‐term. This single‐device architecture functions as both a reservoir and readout layer, achieving 92.43% MNIST accuracy. It offers a fully hardware‐based,
Hyeonho Lee, Seungjun Lee, Tae‐Hyeon Kim, Yonghee Jeong, Gwangmin An, Minsu Ko, Junsu Yu, Heung Soo Kim, Yang Chai, Sungjun Kim   +9 more
wiley   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Phase‐Resolved Defect Transport Mechanisms Governing Asynchronous Ordering in a Eutectic High‐Entropy Alloy

Advanced Science, EarlyView.
Phase‐resolved experiments and atomistic simulations reveal asynchronous ordering behaviors in a eutectic high‐entropy alloy during isothermal annealing. Distinct defect transport mechanisms are identified in coexisting B2 and BCC phases, showing that vacancy and interstitial mediated diffusion governs phase‐dependent thermal stability.
Huiwen Yao, Qingshuang Ma, Jie Xiong, Jing Bai, Huijun Li, Qiuzhi Gao   +5 more
wiley   +1 more source